Presence of rheumatoid arthritis (RA) synovial autoantigen recognized by T cells in RA joints

1999 ◽  
Vol 9 (4) ◽  
pp. 313-324
Author(s):  
Tomoko Toyosaki-Maeda ◽  
Yuji Tsuruta ◽  
Takaji Matsutani ◽  
Takeshi Yoshioka ◽  
Tetsuya Tomita ◽  
...  
Keyword(s):  
Autoimmunity ◽  
2009 ◽  
pp. 1-1
Author(s):  
Jose Miguel Sempere-Ortells ◽  
Vicente Perez-Garcia ◽  
Gema Marin-Alberca ◽  
Alejandra Peris-Pertusa ◽  
Jose Miguel Benito ◽  
...  

2015 ◽  
Vol 1 (2) ◽  
pp. 122-128
Author(s):  
Syuichi Koarada ◽  
Yuri Sadanaga ◽  
Natsumi Nagao ◽  
Satoko Tashiro ◽  
Rie Suematsu ◽  
...  

2020 ◽  
Vol 117 (48) ◽  
pp. 30639-30648
Author(s):  
Dan Hu ◽  
Emily C. Tjon ◽  
Karin M. Andersson ◽  
Gabriela M. Molica ◽  
Minh C. Pham ◽  
...  

IL-17–producing Th17 cells are implicated in the pathogenesis of rheumatoid arthritis (RA) and TNF-α, a proinflammatory cytokine in the rheumatoid joint, facilitates Th17 differentiation. Anti-TNF therapy ameliorates disease in many patients with rheumatoid arthritis (RA). However, a significant proportion of patients do not respond to this therapy. The impact of anti-TNF therapy on Th17 responses in RA is not well understood. We conducted high-throughput gene expression analysis of Th17-enriched CCR6+CXCR3−CD45RA−CD4+T (CCR6+T) cells isolated from anti-TNF–treated RA patients classified as responders or nonresponders to therapy. CCR6+T cells from responders and nonresponders had distinct gene expression profiles. Proinflammatory signaling was elevated in the CCR6+T cells of nonresponders, and pathogenic Th17 signature genes were up-regulated in these cells. Gene set enrichment analysis on these signature genes identified transcription factor USF2 as their upstream regulator, which was also increased in nonresponders. Importantly, short hairpin RNA targetingUSF2in pathogenic Th17 cells led to reduced expression of proinflammatory cytokines IL-17A, IFN-γ, IL-22, and granulocyte-macrophage colony-stimulating factor (GM-CSF) as well as transcription factor T-bet. Together, our results revealed inadequate suppression of Th17 responses by anti-TNF in nonresponders, and direct targeting of the USF2-signaling pathway may be a potential therapeutic approach in the anti-TNF refractory RA.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1341.3-1342
Author(s):  
A. Alshevskaya ◽  
J. Lopatnikova ◽  
J. Zhukova ◽  
F. Kireev ◽  
O. Chumasova ◽  
...  

Background:Previous studies of co-expression profile of receptors to tumor necrosis factor alpha (TNF) in rheumatoid arthritis (RA) have revealed a number of indicators associated with diseases activity with 93% sensitivity and 90% specificity. However, the ratio of receptors to cytokines remains poorly understood. However, the question of therapy effect and its effectiveness in various alteration of cytokine receptors balance remains under investigated.Objectives:To evaluate the dynamics of co-expression and quantitative expression of type 1 and 2 receptors for TNF in the subpopulations of CD3+CD8+ cells associated with changes in disease severity before and after effective basic therapy.Methods:Subanalysis of patients with high disease activity level successfully treated with methotrexate and oral glucocorticoids (n = 9) was performed. As a control group, we used data from 43 healthy donors, comparable by sex and age distribution. Subpopulations of cytotoxic T cells were studied, which were included in the final diagnostic models for differentiating different degrees of severity of RA: naive T cells and memory T cells. The dynamics of changes in the indicators of receptors number and proportion of cells expressing the corresponding receptor were compared.Results:For naïve cytotoxic T cells, the main revealed feature was the relative stability of the number of expressed receptors (both TNFR1 and TNFR2), regardless of the therapy, while this number did not significantly differ from healthy ones for TNFR1 and was significantly lower for TNFR2 (p <0.05 for all three fractions). At the same time, in terms of cell percentage, on the contrary, the therapy led to a change in total proportion of TNFR1 + cells closer to healthy donors indicators, and the proportion of TNFR2 + cells in the opposite direction.For cytotoxic T memory cells, it was demonstrated that after successful treatment a significant increase in the number of type 1 receptors was observed, with a decrease in TNFR1+ cells proportion, while these indicators were close to the values of healthy donors. At the same time, healthy donors were characterized by a significantly higher expression of type 2 receptors in terms of cell density of receptors. It is noteworthy that with successful therapy, a slight increase in the number of TNFR2 was observed with a sharp decrease in the proportion of TNFR2+ cells (p = 0.043).Conclusion:The balance of TNF receptor expression on cells actively involved in immunopathological processes affects both the density distribution of receptors on cells and co-expression in a subpopulation. Effective treatment of RA leads to equalization of the expression profile either by the percentage of cells or by the number of receptors, approaching the indicators of healthy donors, but not simultaneously.Disclosure of Interests:None declared


Biomedicines ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 695
Author(s):  
Javier Conde ◽  
Isabel Fernández-Pisonero ◽  
Myriam Cuadrado ◽  
Antonio Abad ◽  
Javier Robles-Valero ◽  
...  

Genetic evidence suggests that three members of the VAV family (VAV1, VAV2 and VAV3) of signal transduction proteins could play important roles in rheumatoid arthritis. However, it is not known currently whether the inhibition of these proteins protects against this disease and, if so, the number of family members that must be eliminated to get a therapeutic impact. To address this issue, we have used a collection of single and compound Vav family knockout mice in experimental models for antigen-dependent (methylated bovine serum albumin injections) and neutrophil-dependent (Zymosan A injections) rheumatoid arthritis in mice. We show here that the specific elimination of Vav1 is sufficient to block the development of antigen-induced arthritis. This protection is likely associated with the roles of this Vav family member in the development and selection of immature T cells within the thymus as well as in the subsequent proliferation and differentiation of effector T cells. By contrast, we have found that depletion of Vav2 reduces the number of neutrophils present in the joints of Zymosan A-treated mice. Despite this, the elimination of Vav2 does not protect against the joint degeneration triggered by this experimental model. These findings indicate that Vav1 is the most important pharmacological target within this family, although its main role is limited to the protection against antigen-induced rheumatoid arthritis. They also indicate that the three Vav family proteins do not play redundant roles in these pathobiological processes.


Author(s):  
Archana Tripathy ◽  
Prasanta Padhan ◽  
Nitish Swain ◽  
Sunil K. Raghav ◽  
Bhawna Gupta

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jun Inamo ◽  
Katsuya Suzuki ◽  
Masaru Takeshita ◽  
Yasushi Kondo ◽  
Yuumi Okuzono ◽  
...  

AbstractWhile numerous disease-modifying anti-rheumatic drugs (DMARDs) have brought about a dramatic paradigm shift in the management of rheumatoid arthritis (RA), unmet needs remain, such as the small proportion of patients who achieve drug-free status. The aim of this study was to explore key molecules for remission at the T cell level, which are known to be deeply involved in RA pathogenesis, and investigate the disease course of patients who achieved molecular remission (MR). We enrolled a total of 46 patients with RA and 10 healthy controls (HCs). We performed gene expression profiling and selected remission signature genes in CD4+ T cells and CD8+ T cells from patients with RA using machine learning methods. In addition, we investigated the benefits of achieving MR on disease control. We identified 9 and 23 genes that were associated with clinical remission in CD4+ and CD8+ T cells, respectively. Principal component analysis (PCA) demonstrated that their expression profiling was similar to those in HCs. For the remission signature genes in CD4+ T cells, the PCA result was reproduced using a validation cohort, indicating the robustness of these genes. A trend toward better disease control was observed during 12 months of follow-up in patients treated with tocilizumab in deep MR compared with those in non-deep MR, although the difference was not significant. The current study will promote our understanding of the molecular mechanisms necessary to achieve deep remission during the management of RA.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 12.2-12
Author(s):  
I. Muller ◽  
M. Verhoeven ◽  
H. Gosselt ◽  
M. Lin ◽  
T. De Jong ◽  
...  

Background:Tocilizumab (TCZ) is a monoclonal antibody that binds to the interleukin 6 receptor (IL-6R), inhibiting IL-6R signal transduction to downstream inflammatory mediators. TCZ has shown to be effective as monotherapy in early rheumatoid arthritis (RA) patients (1). However, approximately one third of patients inadequately respond to therapy and the biological mechanisms underlying lack of efficacy for TCZ remain elusive (1). Here we report gene expression differences, in both whole blood and peripheral blood mononuclear cells (PBMC) RNA samples between early RA patients, categorized by clinical TCZ response (reaching DAS28 < 3.2 at 6 months). These findings could lead to identification of predictive biomarkers for TCZ response and improve RA treatment strategies.Objectives:To identify potential baseline gene expression markers for TCZ response in early RA patients using an RNA-sequencing approach.Methods:Two cohorts of RA patients were included and blood was collected at baseline, before initiating TCZ treatment (8 mg/kg every 4 weeks, intravenously). DAS28-ESR scores were calculated at baseline and clinical response to TCZ was defined as DAS28 < 3.2 at 6 months of treatment. In the first cohort (n=21 patients, previously treated with DMARDs), RNA-sequencing (RNA-seq) was performed on baseline whole blood PAXgene RNA (Illumina TruSeq mRNA Stranded) and differential gene expression (DGE) profiles were measured between responders (n=14) and non-responders (n=7). For external replication, in a second cohort (n=95 therapy-naïve patients receiving TCZ monotherapy), RNA-seq was conducted on baseline PBMC RNA (SMARTer Stranded Total RNA-Seq Kit, Takara Bio) from the 2-year, multicenter, double-blind, placebo-controlled, randomized U-Act-Early trial (ClinicalTrials.gov identifier: NCT01034137) and DGE was analyzed between 84 responders and 11 non-responders.Results:Whole blood DGE analysis showed two significantly higher expressed genes in TCZ non-responders (False Discovery Rate, FDR < 0.05): urotensin 2 (UTS2) and caveolin-1 (CAV1). Subsequent analysis of U-Act-Early PBMC DGE showed nine differentially expressed genes (FDR < 0.05) of which expression in clinical TCZ non-responders was significantly higher for eight genes (MTCOP12, ZNF774, UTS2, SLC4A1, FECH, IFIT1B, AHSP, and SPTB) and significantly lower for one gene (TND2P28M). Both analyses were corrected for baseline DAS28-ESR, age and gender. Expression of UTS2, with a proposed function in regulatory T-cells (2), was significantly higher in TCZ non-responders in both cohorts. Furthermore, gene ontology enrichment analysis revealed no distinct gene ontology or IL-6 related pathway(s) that were significantly different between TCZ-responders and non-responders.Conclusion:Several genes are differentially expressed at baseline between responders and non-responders to TCZ therapy at 6 months. Most notably, UTS2 expression is significantly higher in TCZ non-responders in both whole blood as well as PBMC cohorts. UTS2 could be a promising target for further analyses as a potential predictive biomarker for TCZ response in RA patients in combination with clinical parameters (3).References:[1]Bijlsma JWJ, Welsing PMJ, Woodworth TG, et al. Early rheumatoid arthritis treated with tocilizumab, methotrexate, or their combination (U-Act-Early): a multicentre, randomised, double-blind, double-dummy, strategy trial. Lancet. 2016;388(10042):343-55.[2]Bhairavabhotla R, Kim YC, Glass DD, et al. Transcriptome profiling of human FoxP3+ regulatory T cells. Human Immunology. 2016;77(2):201-13.[3]Gosselt HR, Verhoeven MMA, Bulatovic-Calasan M, et al. Complex machine-learning algorithms and multivariable logistic regression on par in the prediction of insufficient clinical response to methotrexate in rheumatoid arthritis. Journal of Personalized Medicine. 2021;11(1).Disclosure of Interests:None declared


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